Spinal artery aneurysms: clinical presentation, radiological findings and outcome
Bibliographic record
Abstract
BACKGROUND AND PURPOSE: Spinal arterial aneurysms are a rare cause of spinal subarachnoid hemorrhage (SAH). We performed a retrospective review of spinal arterial aneurysms not associated with spinal arteriovenus shunts from three institutions in order to better understand the clinical and imaging characteristics of these lesions. MATERIALS AND METHODS: We performed a retrospective review of spinal arterial aneurysms managed at three North American institutions. For each patient, the following information was collected: demographic data, clinical presentation, comorbidities, imaging findings, and neurological status at the last follow-up. Treatment strategies and outcomes were reported. RESULTS: 11 patients were included; 7 were women and median age was 60 years. The most common presentation was sudden back pain (81.8%). We found 3 aneurysms on the radiculomedullary artery and 8 along the radiculopial arteries. Of the 3 aneurysms on the radiculomedullary artery, 1 was treated conservatively, 1 was treated with coiling of the aneurysm and sacrifice of the radiculomedullary artery, and 1 was treated with surgical trapping. The 8 aneurysms on the radiculopial artery were treated endovascularly in 4 cases, surgically in 1 case, and conservatively in 3 cases. One surgically treated patient had a spinal subdural hematoma. There were no other complications. Mean clinical follow-up time was 20 months, and 87.5% of patients were functionally independent. CONCLUSIONS: Spinal arterial aneurysms are lesions which commonly present with sudden back pain and spinal SAH. Conservative, surgical, and endovascular treatment options are safe and effective. Long term outcomes in these patients are generally good.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".